Thesis Details

Mapování trajektorií pohybu chodců v záznamu pořízeným dronem

Master's Thesis Student: Šťastný Filip Academic Year: 2019/2020 Supervisor: Orság Filip, Ing., Ph.D.
English title
Mapping of the Pedestrian Movement Trajectory in a Video Recording Captured by a Drone
Language
Czech
Abstract

This master's thesis deals with pedestrian detection using neural networks in a video record captured by drone. Pedestrians are tracked, and their GPS coordinates are calculated using digital elevation models and mapped based on their identity and an information provided by the drone.

Keywords

pedestrian detection, neural networks, drone, UAV, convolutional neural networks, person tracking, trajectory mapping

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
defended, grade B
Date
14 July 2020
Reviewer
Tinka Jan, Ing.
Committee
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
Citation
ŠŤASTNÝ, Filip. Mapování trajektorií pohybu chodců v záznamu pořízeným dronem. Brno, 2020. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-14. Supervised by Orság Filip. Available from: https://www.fit.vut.cz/study/thesis/23222/
BibTeX 
@mastersthesis{FITMT23222,
    author = "Filip \v{S}\v{t}astn\'{y}",
    type = "Master's thesis",
    title = "Mapov\'{a}n\'{i} trajektori\'{i} pohybu chodc\r{u} v z\'{a}znamu po\v{r}\'{i}zen\'{y}m dronem",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23222/"
}

Theses

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